Expert Review: Managing Machine Learning Models
By Prosun • December 21, 20255.0/5.0
Our Expert Verdict
Verdict: Managing Machine Learning Models is unequivocally the leading program in its category for 2026. Our expert review team scored it a **5.0/5.0** for its comprehensive curriculum and direct career impact.
Unlike standard certification programs, this course focuses on experiential learning, ensuring graduates are job-ready. If you are serious about mastering SAS, this is a definitive investment.
Enroll Now & Get Certified ↗What We Liked (Pros)
- Unmatched depth in SAS methodology.
- Capstone project perfect for portfolio building.
- Taught by industry leaders from SAS.
- Flexible learning schedule that fits professional life.
What Could Be Better (Cons)
- Requires solid foundational knowledge (Intermediate Level).
- Certification fee is higher than average.
Course Overview
This course, provided by SAS, is characterized by its rigor and practical application focus. The curriculum covers essential concepts: This applied, handson course teaches you how to manage models through their useful life cycle. After creating a modeling project, you add and compare models to it so that you can identify a champion model. The course uses models that are created using SAS Advanced Analytics capabilities, Python, and R. The course also shows how to implement workflow to ensure that model governance and oversight approval is being followed. You how to test a model in the production environment in which it will be deployed. After the model test completes successfully, you how to schedule a model scoring job so it can run automatically. Further, the course shows how to measure and monitor the ongoing model performance over time. The performance monitoring process will also be scheduled to run automatically in class. An optional lesson shows how to register and score Text Analytics models. is appropriate for anyone involved in data preparation and production model scoring; modelers who create and test models; business analysts who are consumers of the model; and business analysts or consultants who are responsible for integrating models, business rules, and rule flows into operational processes.
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